title: Retina image analysis and ocular telehealth: the Oak Ridge National Laboratory-Hamilton Eye Institute case study.
abstract: Automated retina image analysis has reached a high level of maturity in recent years, and thus the question of how validation is performed in these systems is beginning to grow in importance. One application of retina image analysis is in telemedicine, where an automated system could enable the automated detection of diabetic retinopathy and other eye diseases as a low-cost method for broad-based screening. In this work, we discuss our experiences in developing a telemedical network for retina image analysis, including our progression from a manual diagnosis network to a more fully automated one. We pay special attention to how validations of our algorithm steps are performed, both using data from the telemedicine network and other public databases.
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Karnowski
authors.forename: Luca
authors.initials: L
authors.lastname: Giancardo
authors.forename: Yaqin
authors.initials: Y
authors.lastname: Li
authors.forename: Kenneth W
authors.initials: KW
authors.lastname: Tobin
authors.forename: Edward
authors.initials: E
authors.lastname: Chaum
mesh_terms: D000047:Academies and Institutes; D000465:Algorithms; D001331:Automation; D016208:Databases, Factual; D003930:Diabetic Retinopathy / Q000175:diagnosis; D005128:Eye Diseases / Q000175:diagnosis; D006801:Humans; D009900:Optic Nerve / Q000473:pathology; D012160:Retina / Q000473:pathology*; D017216:Telemedicine